Web Agent: Agentic reinforcement learning decision model under multi-cost and failure risk
Read the original at arxiv.org→arXiv:2610.23857v1 Announce Type: new Abstract: Intelligent agent interactions in real-world web environments are commonly constrained by request budgets, time delays, anti-crawling restrictions, and operational...
Original headline: "Web Agent Agentic Reinforcement Learning Decision Model Under Multi-Cost and Failure Risk"
Coverage timeline
- Oct 20, 04:00 UTC arXiv cs.LG lead source Web Agent Agentic Reinforcement Learning Decision Model Under Multi-Cost and Failure Risk